The Wikimedia Foundation is looking for a Staff Site Reliability Engineer (SRE) focused on Machine Learning Infrastructure . You will join a distributed team working across UTC -5 to UTC +3 (Eastern Americas, Europe, and Africa) and report directly to the Director of Machine Learning, Chris Albon. As a Staff SRE specializing in ML infrastructure, your primary responsibility is designing, developing, maintaining, and scaling the foundational infrastructure that enables Wikimedia's Machine Learning Engineers and Researchers to efficiently train, deploy, and monitor machine learning models in production. You will be responsible for: Designing and implementing robust ML infrastructure used for training, deployment, monitoring, and scaling of machine learning models. Improving reliability, availability, and scalability of ML infrastructure, ensuring smooth and efficient workflows for internal ML engineers and researchers. Collaborating closely with ML engineers, product...

The Wikimedia Foundation is looking for a Staff Site Reliability Engineer (SRE) focused on Machine Learning Infrastructure . You will join a distributed team working across UTC -5 to UTC +3 (Eastern Americas, Europe, and Africa) and report directly to the Director of Machine Learning, Chris Albon. As a Staff SRE specializing in ML infrastructure, your primary responsibility is designing, developing, maintaining, and scaling the foundational infrastructure that enables Wikimedia's Machine Learning Engineers and Researchers to efficiently train, deploy, and monitor machine learning models in production. You will be responsible for: Designing and implementing robust ML infrastructure used for training, deployment, monitoring, and scaling of machine learning models. Improving reliability, availability, and scalability of ML infrastructure, ensuring smooth and efficient workflows for internal ML engineers and researchers. Collaborating closely with ML engineers, product...

The Wikimedia Foundation is looking for a Staff Site Reliability Engineer (SRE) focused on Machine Learning Infrastructure . You will join a distributed team working across UTC -5 to UTC +3 (Eastern Americas, Europe, and Africa) and report directly to the Director of Machine Learning, Chris Albon. As a Staff SRE specializing in ML infrastructure, your primary responsibility is designing, developing, maintaining, and scaling the foundational infrastructure that enables Wikimedia's Machine Learning Engineers and Researchers to efficiently train, deploy, and monitor machine learning models in production. You will be responsible for: Designing and implementing robust ML infrastructure used for training, deployment, monitoring, and scaling of machine learning models. Improving reliability, availability, and scalability of ML infrastructure, ensuring smooth and efficient workflows for internal ML engineers and researchers. Collaborating closely with ML engineers, product...

The Wikimedia Foundation is looking for a Staff Site Reliability Engineer (SRE) focused on Machine Learning Infrastructure . You will join a distributed team working across UTC -5 to UTC +3 (Eastern Americas, Europe, and Africa) and report directly to the Director of Machine Learning, Chris Albon. As a Staff SRE specializing in ML infrastructure, your primary responsibility is designing, developing, maintaining, and scaling the foundational infrastructure that enables Wikimedia's Machine Learning Engineers and Researchers to efficiently train, deploy, and monitor machine learning models in production. You will be responsible for: Designing and implementing robust ML infrastructure used for training, deployment, monitoring, and scaling of machine learning models. Improving reliability, availability, and scalability of ML infrastructure, ensuring smooth and efficient workflows for internal ML engineers and researchers. Collaborating closely with ML engineers, product...